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Med-books.by - Библиотека медицинской литературы » Медицинская информатика

Pattern Recognition and Signal Analysis in Medical Imaging - Meyer-Baese A., Schmid V. - 2014 год



Pattern Recognition and Signal Analysis in Medical Imaging - Meyer-Baese A., Schmid V. - 2014 год

Medical imaging is today becoming one of the most important visualization and interpretation methods in biology and medicine. The past decade has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying images. These instruments are greatly amplifying the ability of biochemists, biologists, medical scientists, and physicians to see their objects of study and to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. An awareness of the power of computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques for the problems of medicine. The most challenging aspect in medical imaging lies in the development of integrated systems for the use in the clinical sector. Design, implementation, and validation of complex medical systems require not solely medical expertise but also a tight collaboration between physicians and biologists, on the one hand, and engineers and physicists, on the other.

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The chemistry of contrast agents in medical magnetic resonance imaging - Merbach A.S., Helm L., Tóth E. - 2013 год



The chemistry of contrast agents in medical magnetic resonance imaging - Merbach A.S., Helm L., Tóth E. - 2013 год

Magnetic Resonance Imaging (MRI) is one of the most important tools in clinical diagnostics and biomedical research. The number of MRI scanners operating around the world is estimated to be approximately 20,000, and the development of contrast agents, currently used in about a third of the 50 million clinical MRI examinations performed every year, has largely contributed to this significant achievement.
This completely revised and extended second edition:
Includes new chapters on targeted, responsive, PARACEST and nanoparticle MRI contrast agents.
Covers the basic chemistries, MR physics and the most important techniques used by chemists in the characterization of MRI agents from every angle from synthesis to safety considerations.
Is written for all of those involved in the development and application of contrast agents in MRI.
Presented in colour, it provides readers with true representation and easy interpretation of the images.

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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Menze B., Langs G., Tu Z., Criminisi A.



Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Menze B., Langs G., Tu Z., Criminisi A.

The Workshop on Medical Computer Vision (MICCAI-MCV 2010) was held in conjunction with the 13th International Conference on Medical Image Computing and Computer – Assisted Intervention (MICCAI 2010) on September 20, 2010 in Beijing, China. The one-day workshop focused on recognition techniques and applications in medical imaging. The participants discussed principled approaches that go beyond the limits of current model-driven image analysis, which are provably efficient and scalable, and which generalize well to previously unseen images. It included emerging applications that go beyond the analysis of individual clinical studies and specific diagnostic tasks – a current focus of many computational methods in medical imaging.

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Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters - Meiburger K.M. - 2017 год



Quantitative Ultrasound and Photoacoustic Imaging for the Assessment of Vascular Parameters - Meiburger K.M. - 2017 год

The works in this book can be divided into two macro areas: (1) morphological vascular studies based on the development of quantitative imaging techniques for the use with clinical B-mode ultrasound images, and (2) preclinical architectural vascular studies based on quantitative imaging techniques for ultrasound and photoacoustics.

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Index of Medical Imaging - McConnell J. - 2011 год - 347 с.



Index of Medical Imaging - McConnell J. - 2011 год - 347 с.

The book is the must-have companion for diagnostic radiography students and newly qualified imaging practitioners, designed to allow easy access to descriptions and discussions of many aspects of medical imaging such as radiographic projections, positioning, procedures and clinical examinations.
The Index consists of multiple lists, tables and discussions linked to (amongst others) radiography, CT, MRI and components such as radiological contrast agents, responses to contrast reactions, MRI safety. There is a glossary of terms and definitions plus a list of abbreviations that may be encountered within radiology. Tables are given that suggest the order and type of examination that should be performed as defined by the UK Royal College of Radiologists.

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From Basic Cardiac Imaging to Image Fusion: Core Competencies Versus Technological Progress - Marzullo P., Mariani G. - 2013 год



From Basic Cardiac Imaging to Image Fusion: Core Competencies Versus Technological Progress - Marzullo P., Mariani G. - 2013 год

The recent development of three-dimensional imaging techniques has provided an enormous amount of information relevant to the clinical management of patients at low and high risk for coronary artery disease. However, while progress in each individual technique has been rapid, the correlation of findings obtained with radiology, nuclear medicine, and magnetic resonance imaging is still relatively neglected. In this book, qualified experts in cardiac imaging present the basic concepts of cardiac pathology and imaging and compare the findings obtained in particular subspecialties with those acquired using other techniques. In this way the reader will learn how images and techniques can be integrated in clinical practice to the benefit of the patient. In addition, it is explained how appropriate multimodality integration can reduce the patient's exposure to ionizing radiation. Physicians ranging from cardiac surgeons to internal medicine specialists and even public health administrators will find this book invaluable in understanding the role of hybrid cardiac imaging.

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Biomedical Imaging - Mao Y. - 2010 год - 108 с.



Biomedical Imaging - Mao Y. - 2010 год - 108 с.

Biomedical imaging is becoming an indispensable branch within bioengineering. This research field has recent expanded due to the requirement of high-level medical diagnostics and rapid development of interdisciplinary modern technologies. This book is designed to present the most recent advances in instrumentation, methods, and image processing as well as clinical applications in important areas of biomedical imaging. This book provides broad coverage of the field of biomedical imaging, with particular attention to an engineering viewpoint.
Chapter one introduces a 3D volumetric image registration technique. The foundations of the volumetric image visualization, classification and registration are discussed in detail. Although this highly accurate registration technique is established from three phantom experiments (CT, MRI and PET/CT), it applies to all imaging modalities. Optical imaging has recently experienced explosive growth due to the high resolution, noninvasive or minimally invasive nature and cost-effectiveness of optical coherence modalities in medical diagnostics and therapy. Chapter two demonstrates a fiber catheter-based complex swept-source optical coherence tomography system. Swept-source, quadrature interferometer, and fiber probes used in optical coherence tomography system are described in details. The results indicate that optical coherence tomography is a potential imaging tool for in vivo and real-time diagnosis, visualization and treatment monitoring in clinic environments. Brain computer interfaces have attracted great interest in the last decade.

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Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging - Maji P., Pal S.K. - 2012 год



Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging - Maji P., Pal S.K. - 2012 год

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing
Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection.
Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as:
Soft computing in pattern recognition and data mining
A Mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set
Selection of non-redundant and relevant features of real-valued data sets
Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis
Segmentation of brain MR images for visualization of human tissues
Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

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Advances in Image-Guided Urologic Surgery - Liao J.C., Su L.-M. - 2015 год - 293 с.



Advances in Image-Guided Urologic Surgery - Liao J.C., Su L.-M. - 2015 год - 293 с.

Advances in imaging technologies have been a key source of innovation in modern medicine and surgery. In the preoperative setting, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US) play indispensable roles in clinical diagnosis and surgical planning. Modern endoscopy and minimally invasive surgery can trace their foundation to the invention of Lichtleiter by Bozzini in 1806 and the first laparoscopic procedures a century later. In urological surgery and beyond, patients and their surgeons today strive for precise surgical treatments in the least invasive manner while minimizing collateral damage to surrounding organs. Advances in Image - Guided Urologic Surgery is a compendium of the emerging field of image-guided surgery and intervention in urology. The book is divided into four sections. The first section focuses on optical imaging technologies including wide-field fluorescence, optical coherence tomography, and endomicroscopy. The second section addresses the current applications of intraoperative ultrasound. The third section focuses on the integration of CT- and MRI-guided surgical interventions, particularly for prostate and kidney cancer. The fourth section introduces other emerging applications including augmented reality, simulators, and molecular imaging.
The intended audience of this book includes urological surgeons and trainees, biomedical engineers, and imaging scientists interested in technology translation. We are grateful for the contribution of a group of international experts who are among the foremost leaders in this emerging field. Ultimately, we share the common goal that by being able to “see” better, we will deliver better surgical outcomes for our patients.

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Shape Analysis in Medical Image Analysis - Li S., Tavares J.M.R.S. - 2014 год - 441 с.



Shape Analysis in Medical Image Analysis - Li S., Tavares J.M.R.S. - 2014 год - 441 с.

This book presents novel and cutting-edge topics in Advances of Shape Analysis in Medical Image Analysis in order to solidify knowledge in the related fields and define their key stakeholders.
The 13 chapters included in this book were written by invited experts of international recognition and address important issues in shape analysis in medical image analysis, including: techniques for image segmentation, registration, modelling and classification and applications in biology, cardiac, brain, spine, chest, lung, and clinical practice.
The book covers the most recent advances in this area. Therefore, this book is of crucial effectiveness for researchers, students, end-users, and manufacturers from several multidisciplinary fields, as the ones related with artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, imaging-based intervention, medicine, pattern recognition, and physics.

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